Treasury Data App Dev

App + Api for Supplemental Treasury Insights with enterprise cloud integrations capabilties. We also provide consulting services to further enhance your insights both development and rich SME treasury knowledge

Services Offered

• Web App for Users
• API for Developers
• Consulting services for development & years of Treasury SME resources
  • GPT style Treasury AI (Development Phase) for AI Consulting

Deployments on Google Cloud Run

• App: https://treasury-data.app/
• API: https://treasury-data-app-dev-backend-ypo22oeifq-uc.a.run.app/docs

Features

• App: Data Visualizations + Analysis of Supplemental Treasury Specific Insights
• Api: Developer Integration of Treasury Specific Insights

Integrations

Custom Alchemy of Machine Learning Models to create thoughtful insights & predictions

• h20.ai: Based ML known for speed on JVMs
• Hugging Face: Largest provider of Transformers for specific modeling techniques
• QuantumAI: Using quantum computing for simulations from Google's Cirq framework

Cloud Providers: We toggle between major cloud providers via Terraform for effciency

• Google Cloud Platform
• AWS
• Azure

Tech Stack

Pure Python baby! For nimble development, keeping the frontend and backend in one language increases efficieny. chatGPT also has ton of Python data it's trained on ;) I think I could also get a shoutout from Streamlit from this guy, https://www.youtube.com/@andfanilo so good PR.

graph LR
    A[Terraform] -->|Provision Cloud| B(Streamlit App)
    B -->|API Request| C(FastAPI Backend)
    C -->|AWS Storage| D[Amazon S3 Bucket]
    C -->|Azure Storage| E[Azure Blob]
    C -->|GCP| F[Google Cloud Bucket]

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Note: The Streamlit app can handle the POC + MVP stage but once 100 users is hit that will need to be rewritten to Javascript (React, Vue, Svelte). I would offshore this then chatGPT to replace the frontend.